-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC2_1.
> log
  log type:  text
 opened on:  19 Feb 2024, 02:22:54

. foreach var in couns_present couns_time_net opasha_visit_day{
  2. wildbootstrap regress `var' treatment final_stratum_id1-final_stratum_id13 $hw
> _controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)
  3. }
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10......... done (19)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20... done (23)

Wild cluster bootstrap                             Number of obs      = 3,063
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    21
Error weight: Rademacher                                          avg =  47.1
                                                                  max =   106
-----------------------------------------------------------------------------
           couns_present |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0448207    2.00   0.126   -.0121848    .0991365
   final_stratum_id1 = 0 |  -.0837379   -2.19   0.154   -.3042955    .1579432
   final_stratum_id2 = 0 |  -.0487595   -1.26   0.284   -.2149031    .0595647
   final_stratum_id3 = 0 |   .0113745    0.46   0.678   -.1732774    .2137391
   final_stratum_id4 = 0 |  -.0306176   -1.37   0.226   -.1115171     .058495
   final_stratum_id5 = 0 |  -.1661105   -3.89   0.073   -.3768834    .0527256
   final_stratum_id6 = 0 |  -.1150416   -1.79   0.212    -.493539    .1002221
   final_stratum_id7 = 0 |  -.1400401   -3.91   0.057    -.239981    .0240599
   final_stratum_id8 = 0 |  -.2579743   -6.65   0.046   -.4537041   -.0224697
   final_stratum_id9 = 0 |  -.4514872   -9.71   0.058   -.7798609     .128127
  final_stratum_id10 = 0 |  -.3644955   -6.41   0.042   -.6744983   -.0394272
  final_stratum_id11 = 0 |  -.1155434   -4.12   0.034   -.2369072   -.0236417
  final_stratum_id12 = 0 |  -.1204558   -1.34   0.428   -.5351927    .2588084
  final_stratum_id13 = 0 |  -.0032241   -0.11   0.915   -.1540254    .1218507
              b_age_ = 0 |   .0016849    0.84   0.497   -.0042033    .0065114
      b_jobs_bef_oa_ = 0 |   .0291608    0.89   0.479   -.0609676    .1103997
               male_ = 0 |   -.065085   -1.49   0.242   -.1864118     .042771
          gen_caste_ = 0 |  -.0394965   -1.88   0.160   -.0889747    .0179416
              hindu_ = 0 |  -.0588605   -1.72   0.228   -.1466863    .0392182
     twelveandbelow_ = 0 |   -.057394   -1.48   0.435   -.4063132    .4644327
           tertiary_ = 0 |  -.1075576   -2.42   0.174   -.3863097    .2319157
           hhd_size_ = 0 |  -.0092346   -1.87   0.216    -.022444    .0055868
           ownhouse_ = 0 |   .1024641    3.31   0.018    .0162361    .1820405
 twelveandbelow_dum_ = 0 |  -.0300793   -0.54   0.662   -.2916369    .1538824
       hhd_size_dum_ = 0 |  -.0542757   -1.00   0.481   -.2814392    .1927027
-----------------------------------------------------------------------------
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.........30.........40...... done (46)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10....... done (17)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20.........30.........40...... done (46)
  Upper bound: .........10.........20.........30.........40... done (43)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20... done (23)

Wild cluster bootstrap                             Number of obs      = 2,987
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    21
Error weight: Rademacher                                          avg =  46.0
                                                                  max =   102
-----------------------------------------------------------------------------
          couns_time_net |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   22.29025    2.76   0.038    1.530798    42.12191
   final_stratum_id1 = 0 |   6.139715    0.17   0.871   -121.2169    502.5813
   final_stratum_id2 = 0 |  -45.71786   -1.06   0.490   -201.0111    65.62312
   final_stratum_id3 = 0 |   11.87306    0.36   0.780   -206.9901    446.5531
   final_stratum_id4 = 0 |   9.144982    0.22   0.852   -123.4657    180.0713
   final_stratum_id5 = 0 |  -42.08541   -1.19   0.557   -147.8788     35.5148
   final_stratum_id6 = 0 |  -68.64879   -1.96   0.232   -160.2507    28.04545
   final_stratum_id7 = 0 |  -10.94586   -0.31   0.803   -93.60711    90.12291
   final_stratum_id8 = 0 |  -77.28514   -2.25   0.130   -179.0588    112.0862
   final_stratum_id9 = 0 |  -104.3259   -2.83   0.085   -202.6602    285.4796
  final_stratum_id10 = 0 |   -108.093   -3.12   0.073   -207.4552    270.8199
  final_stratum_id11 = 0 |  -63.74328   -1.85   0.270   -161.9452    208.6709
  final_stratum_id12 = 0 |  -99.26186   -2.72   0.083   -202.6178    11.11716
  final_stratum_id13 = 0 |  -61.43248   -1.79   0.391    -157.505    24.27268
              b_age_ = 0 |   .6705404    1.16   0.332   -.8542847    2.076081
      b_jobs_bef_oa_ = 0 |  -.5065021   -0.05   0.956   -28.47044    24.76255
               male_ = 0 |  -14.24544   -1.08   0.380   -51.31848    20.70688
          gen_caste_ = 0 |  -1.507783   -0.19   0.880   -19.67902    19.27779
              hindu_ = 0 |    1.64222    0.16   0.884   -23.74112    29.92531
     twelveandbelow_ = 0 |   19.88826    0.62   0.759   -390.3306    686.1184
           tertiary_ = 0 |  -1.346981   -0.04   0.961   -358.8913    485.2415
           hhd_size_ = 0 |  -3.544669   -1.89   0.222   -8.183981    3.006249
           ownhouse_ = 0 |   21.94199    2.13   0.125   -7.369029    46.12916
 twelveandbelow_dum_ = 0 |   15.46132    0.47   0.749   -96.50486    150.0963
       hhd_size_dum_ = 0 |   17.99173    1.10   0.340   -29.39829    76.24413
-----------------------------------------------------------------------------
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20.........30..... done (35)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30....... done (37)
  Upper bound: .........10.........20......... done (29)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20... done (23)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20.........30......... done (39)
  Upper bound: .........10.........20 done (20)

Wild cluster bootstrap                             Number of obs      = 2,855
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =     3
Error weight: Rademacher                                          avg =  43.9
                                                                  max =   108
-----------------------------------------------------------------------------
        opasha_visit_day |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |   .0295546    2.60   0.035    .0016569     .053988
   final_stratum_id1 = 0 |   -.120441   -1.87   0.110    -1.32876    .0521031
   final_stratum_id2 = 0 |  -.1757742   -2.77   0.023   -.4043636   -.0314356
   final_stratum_id3 = 0 |  -.0680824   -1.09   0.600   -1.254902    .1925674
   final_stratum_id4 = 0 |  -.1651575   -2.73   0.188   -8.015525    .9950337
   final_stratum_id5 = 0 |  -.1339402   -2.14   0.068   -.2879994    .0283247
   final_stratum_id6 = 0 |   -.093493   -1.45   0.320    -.291854    .0394639
   final_stratum_id7 = 0 |  -.0726547   -1.15   0.478   -.2617005    .0856994
   final_stratum_id8 = 0 |  -.0828622   -1.26   0.408   -.7955429    .1794024
   final_stratum_id9 = 0 |  -.0792351   -1.24   0.470   -1.298332    .0983524
  final_stratum_id10 = 0 |   -.108157   -1.73   0.150   -1.076172    .1001654
  final_stratum_id11 = 0 |  -.1077326   -1.73   0.132   -1.188261    .0628146
  final_stratum_id12 = 0 |  -.0117791   -0.08   0.904    -.324614    1.305324
  final_stratum_id13 = 0 |  -.0808956   -1.23   0.411   -.3430376     .081235
              b_age_ = 0 |   .0007461    0.93   0.401   -.0009786    .0028945
      b_jobs_bef_oa_ = 0 |   .0149783    0.89   0.468   -.0287652    .0543382
               male_ = 0 |  -.0168847   -1.05   0.377   -.0527443    .0226579
          gen_caste_ = 0 |  -.0176548   -1.51   0.209   -.0477798    .0085347
              hindu_ = 0 |   .0207391    1.66   0.170   -.0113813    .0516306
     twelveandbelow_ = 0 |   .0028308    0.23   0.829   -.0792997    .0602576
           tertiary_ = 0 |  -.0076427   -0.41   0.704   -.1135411    .0927921
           hhd_size_ = 0 |   .0046169    2.29   0.043    .0001577    .0101625
           ownhouse_ = 0 |  -.0035925   -0.27   0.806    -.036383    .0299675
 twelveandbelow_dum_ = 0 |  -.0249815   -1.42   0.288   -.0875398    .0434682
       hhd_size_dum_ = 0 |   .1169246    1.90   0.418    -.065257    .3741499
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